Triple
T14170585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella Jagiellon |
E351194
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Buda |
E70138
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Buda | Statement: [Isabella Jagiellon, residence, Buda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buda Context triple: [Isabella Jagiellon, residence, Buda]
-
A.
Buda
chosen
Buda is the historic western part of modern-day Budapest, known for its hilly landscape, medieval castle district, and role as a former capital of the Kingdom of Hungary.
-
B.
Buda
Buda is a small but rapidly growing city in Central Texas, located just south of Austin and known for its historic downtown and community events.
-
C.
Bud’da
Bud’da is an American hip-hop record producer known for his work with prominent rap artists in the late 1990s and early 2000s.
-
D.
Buda Bari
Buda Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
-
E.
Bodhi
Bodhi is the charismatic, thrill-seeking surfer and bank robber who serves as the philosophical antagonist to FBI agent Johnny Utah in the film "Point Break."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324772e4819092aef7826b39b144 |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 10, 2026, 1:01 a.m.